On a bifurcation theory-based prognosis methodology for characterizing multiple damage mechanisms

Paloma Mejia; Amit Shukla

doi:10.1117/12.598049

9 May 2005 On a bifurcation theory-based prognosis methodology for characterizing multiple damage mechanisms

Paloma Mejia, Amit Shukla

Proceedings Volume 5768, Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems IV; (2005) https://doi.org/10.1117/12.598049
Event: Nondestructive Evaluation for Health Monitoring and Diagnostics, 2005, San Diego, CA, United States

Abstract

Prognosis integrates physics based models of damage, noninvasive real time interrogation techniques and data/signature analysis to predict future performance. One of the significant capabilities essential for the prognosis methodology to work is to develop analysis methods for multiple and interacting damage and failure mechanisms. In this paper the proposed methodology has been demonstrated with the help of a nonlinear multi-degree-of-freedom system which exhibits multiple phenomenological damage phenomenon. It is shown that the participation factors for the bifurcating damage modes can be used to characterize the damage mechanism.

Citation Download Citation

Paloma Mejia and Amit Shukla "On a bifurcation theory-based prognosis methodology for characterizing multiple damage mechanisms", Proc. SPIE 5768, Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems IV, (9 May 2005); https://doi.org/10.1117/12.598049

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